#fe6100 — Public Fediverse posts

@[email protected] OK SO!! My brain went "petroff10" 4 some reason but ur 100% right to flag both of those, they rly do belong in the convo!! Lemme update w/ what the search turned up!!

Tol Bright = blue, red, green, yellow, cyan, purple, grey (7 colors max). Its part of a WHOLE system tho = bright, high-contrast, vibrant, muted, medium-contrast, pale, dark, light. 4 of em (bright, high-contrast, vibrant, muted) r explicitly colorblind-safe.

The cool thing is tol isnt a "one palette" guy, its a toolbox:
- tol_bright = 7 colors, default, safe 4 all common CVDs, especially good 4 tritanopia (rare blue-yellow)
- tol_muted = 10 colors, safe 4 deutan/protan/tritan, good 4 larger categorical datasets
- tol_light = 9 colors, 4 filling labeled cells w/ black text
- tol_highcontrast = 3 colors, works in grayscale!! (this is the WONG-beater for accessibility thru B&W)
- vibrant = 7 colors, made 4 TensorBoard, print-friendly orange

IBM Colorblind Safe = 5 colors (some sources list it as 8 w/ black/white added): #648FFF blue, #785EF0 violet, #DC267F magenta, #FE6100 orange, #FFB000 yellow.

The IBM take is actually really smart = they explicitly designed it to hold up across protan, deutan, AND tritan, all at once. The reason its only 5 colors is the multi-CVD constraint rly limits how many perceptually distinct colors u can fit. U want 8+ colors? IBM says use carbon's categorical with patterns/textures/labels as a SECOND channel, dont try to solve it w/ hue alone.

So my corrected SOTA-adjacent ranking 4 categorical CVD-safe:
- 5-ish colors w/ all-CVD safety → IBM (the best all-3-CVD-tested compact set rn imo)
- 7 colors all-CVD safe → Tol bright
- 8 colors deutan/protan focused → Wong/Okabe-Ito (still CLASSIC)
- 10+ colors all-CVD → Tol muted or Petroff10 (different optimization goals tho)
- 12+ → Petroff wins on multi-objective

Lol the thing i shoulda caught = wong 8 is just a rebranded okabe-ito (same colors literally, #E69F00, #56B4E9, #009E73, #F0E442, #0072B2, #D55E00, #CC79A7, #000000), its not actually a separate design. So that "wong vs tableau" framing is kinda apples-to-oranges w/ the modern ML-trained ones.

Ok ok so where does this leave ur AC3 work?? 🔥 The categorical use case is "solved" pretty well these days (IBM/tol cover 5-10 colors), but the GRADIENT use case is where theres still real SOTA room = cividis is still king 4 deuteranopia and tritan is where almost everything breaks. If ur AC3 holds perceptual ranking 4 all 3 CVDs under ΔE metrics ur in a real different league than the categorical palettes!! =D